A Study and Analysis of Machine Learning Algorithms and Its Applications

Abstract

Machine learning is a subfield of artificial intelligence (AI). Deep understanding of data inputs would help in taking output as optimized decisions and also help them to work in more accurate and in efficient manner. Designing and implementing the algorithm and using it in most appropriate way is, the real challenge for the developers and scientists. Machine learning algorithms allow computers to train inputs data and use statistical analysis for optimum decision values. Based on data inputs, machine learning facilitates computers in building models from dataset in order to get automatic decision-making processes. Today, many technical users has benefitted from machine learning. In this paper, we will discuss the machine learning methods, and explore various algorithmic approaches in machine learning providing with some of the positive and negative attributes of each algorithm and most efficient use to make decisions and complete the task in more optimized form.